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A decline in skeletal muscle mass and low muscular strength are prognostic factors in advanced human cancers. Here we found that breast cancer suppressed O-linked N-acetylglucosamine (O-GlcNAc) protein modification in muscle through extracellular-vesicle-encapsulated miR-122, which targets O-GlcNAc transferase (OGT). Mechanistically, O-GlcNAcylation of ryanodine receptor 1 (RYR1) competed with NEK10-mediated phosphorylation and increased K48-linked ubiquitination and proteasomal degradation; the miR-122-mediated decrease in OGT resulted in increased RYR1 abundance. We further found that muscular protein O-GlcNAcylation was regulated by hypoxia and lactate through HIF1A-dependent OGT promoter activation and was elevated after exercise. Suppressed O-GlcNAcylation in the setting of cancer, through increasing RYR1, led to higher cytosolic Ca2+ and calpain protease activation, which triggered cleavage of desmin filaments and myofibrillar destruction. This was associated with reduced skeletal muscle mass and contractility in tumour-bearing mice. Our findings link O-GlcNAcylation to muscular protein homoeostasis and contractility and reveal a mechanism of cancer-associated muscle dysregulation.

HIV-1 vaccine immunofocusing strategies may be able to induce broadly-reactive neutralizing antibodies (NAbs). Here, we engineered a panel of diverse, membrane-resident native HIV-1 trimers vulnerable to two broad targets—the V2 apex and fusion peptide (FP). Selection criteria included i) high expression and ii) infectious function, so that trimer neutralization sensitivity can be profiled in pseudovirus (PV) assays. Initially, we boosted the expression of 17 candidate trimers by truncating gp41 and introducing a gp120-gp41 SOS disulfide to prevent gp120 shedding. "Repairs" were made to fill glycan holes and eliminate other strain-specific aberrations. A new neutralization assay allowed PV infection when our standard assay was insufficient. Trimers with exposed V3 loops, a target of non-NAbs, were discarded. To try to increase V2-sensitivity, we removed clashing glycans and modified the C-strand. Notably, a D167N mutation improved V2-sensitivity in several cases. Glycopeptide analysis of JR-FL trimers revealed near complete sequon occupation and that filling the N197 glycan hole was well-tolerated. In contrast, sequon optimization and inserting/removing glycans at other positions frequently had global "ripple" effects on glycan maturation and sequon occupation throughout the gp120 outer domain and gp41. V2 MAb CH01 selectively bound to trimers with small high mannose glycans near the base of the V1 loop, thereby avoiding clashes. Knocking in a rare N49 glycan was found to perturb gp41 glycans, increasing FP NAb sensitivity—and sometimes improving expression. Finally, a biophysical analysis of VLPs revealed that i) ~25% of particles bear Env spikes, ii) spontaneous particle budding is high and only increases 4-fold upon Gag transfection, and iii) Env+ particles express ~30–40 spikes. Taken together, we identified 7 diverse trimers with a range of sensitivities to two targets to allow rigorous testing of immunofocusing vaccine concepts., Author summary Despite almost 40 years of innovation, a vaccine to induce antibodies that block HIV infection remains elusive. Challenges include the unparalleled sequence diversity of HIV’s surface spikes and its dense sugar coat that limits antibody access. A growing number of monoclonal antibodies from HIV infected donors provide vaccine blueprints, but have been difficult to induce by vaccination, due to their unusual features. However, two targets, one at the viral spike apex and another at the side of the spikes are more forgiving in their ’demands’ for unusual antibodies. Here, we made a diverse panel of HIV spikes vulnerable at these two sites to be used as vaccines to try to focus antibodies on these targets. Our selection criteria for these spikes were: i) that when expressed on particles, they are infectious, allowing us to evaluate immunogens and vaccine sera using particles made with the same trimers, ii) that spikes are easy to produce by cells in quantities sufficient for vaccine use. Ultimately, we selected 7 trimers that will allow us to explore concepts that could bring us closer to an HIV vaccine.

Extracellular vesicles (EVs) can mediate intercellular communication, including signaling between the placenta and maternal tissues. Human placental explant culture is a versatile in vitro model system to investigate placental function. We performed systematic studies to identify a defined serum-free medium that supports high trophoblast viability and metabolism, as well as release of similar populations of EVs, compared to traditional undefined conditions that contain media additives potentially contaminated with exogenous EVs. We also determined the timeframe in which trophoblast viability and functionality remained optimal. Multiplexed vesicle flow cytometry with classical EV and placenta-specific markers revealed three separate populations, small CD63+ EVs, large PLAP+ EVs, and CD63-/PLAP- EVs. The CD63+ population was higher in the first trimester and the PLAP+ population in the third trimester explants. These culture and analytical approaches will enable in vitro modeling of short-term effects of environmental perturbations associated with pregnancy complications on placental function and EV secretion.

Methamphetamine (MA) is the largest drug threat across the globe, with health effects including neurotoxicity and cardiovascular disease. Recent studies have begun to link microRNAs (miRNAs) to the processes related to MA use and addiction. Our studies are the first to analyse plasma EVs and their miRNA cargo in humans actively using MA (MA‐ACT) and control participants (CTL). In this cohort we also assessed the effects of tobacco use on plasma EVs. We used vesicle flow cytometry to show that the MA‐ACT group had an increased abundance of EV tetraspanin markers (CD9, CD63, CD81), but not pro‐coagulant, platelet‐, and red blood cell‐derived EVs. We also found that of the 169 plasma EV miRNAs, eight were of interest in MA‐ACT based on multiple statistical criteria. In smokers, we identified 15 miRNAs of interest, two that overlapped with the eight MA‐ACT miRNAs. Three of the MA‐ACT miRNAs significantly correlated with clinical features of MA use and target prediction with these miRNAs identified pathways implicated in MA use, including cardiovascular disease and neuroinflammation. Together our findings indicate that MA use regulates EVs and their miRNA cargo, and support that further studies are warranted to investigate their mechanistic role in addiction, recovery, and recidivism.

44 Background: Patients often feel lost in the transition from cancer patient to survivor. As cancer treatment improves, the number of survivors in the US is expected to approach 22 million by the year 2029. Smaller increases in the MD workforce coupled with long-term effects of new treatments necessitate the creation survivorship clinics led by advanced practice providers (APP) who are disease-specialized and specifically trained to manage unique survivor needs. Although the institutions Survivorship program was established more than a decade ago, the average referral rate to the program is only 30%. Given the high levels of patient satisfaction with the program, we sought to understand and address clinician awareness and referral obstacles. Methods: Based on patient input, members of our Patient & Family Advisory Council for Quality (PFACQ) put forth a proposal aimed at increasing referrals to the Survivorship program. A multidisciplinary working group comprising patients, clinicians, administrators and process engineers was assembled. Process Improvement training was conducted, and a primary goal was developed: increase Survivorship referrals by 25%. Central to the approach was engagement with referring physicians and APPs on a service-by-service basis. A four-question survey was developed to address timing of initial discussion, challenges to referring, knowledge of visit elements, and materials needed to support referrals. A customized ‘roadshow’ presentation was created and delivered by a PFACQ member at a faculty meeting. Highlights included: the importance of Survivorship care to patients and details of the visit, survey responses, and additional faculty discussion and input. Results: Four roadshows were completed from August 2020-June 2021: Gynecologic Surgery, Endocrine, Breast Medicine and Lymphoma. Based on survey responses and dialogue with providers, new material to support patient discussions and education have been developed: a patient-facing brochure, clinician- & patient-facing video, and clinician talking points. Methods to facilitate identifying eligible patients were also discussed, as well as automatic referrals to Survivorship for selected services. Data reveal a significant increase in referral rates from GYN and Endocrine services (follow up > 6 months) of 63% and 228%, respectively. (Breast Medicine and Lymphoma with shorter follow up will be reported.) Engagement with other services is underway. Conclusions: Results have exceeded the goal of increasing referral rates to the program. This process suggests that ongoing engagement with referring clinicians is essential to achieving and maintaining higher referral rates. The patient voice throughout this process has been a powerful tool in raising clinician awareness of their experiences and expectations for comprehensive follow up care, which can be delivered on a greater scale by survivorship providers.

2085 Background: The Memorial Sloan Kettering (MSK) Urgent Care Center (UCC) functions as the emergency room for MSK. With 23,000+ visits annually, increasing volume and acuity means more days over capacity. Patients experience increased wait times to see clinicians, complete evaluation, and transfer to an inpatient bed. The UCC TeleTriage Program is a remote triage program which aims to align patient volume and need with available resources, improve patient experience, and streamline flow through the UCC. By managing resources more efficiently and expediting initial evaluation, the program promotes timely patient access to care, while maintaining MSK's standard of care. Methods: UCC TeleTriage began July 2018 with the Gastrointestinal Medical Oncology service. The Service Nurse refers patients to TeleTriage on weekdays, from 9a.m.- 4:30p.m. The TeleTriage clinician contacts each patient within 30 minutes of referral, takes the history, and determines the initial plan. Patients are directed to a local ER, clinic, or UCC based on level of acuity, real-time GPS, and specific need. For stable patients coming to UCC, TeleTriage focuses on initiating testing prior to registration in UCC. Results: TeleTriage patients have (virtual) contact with a UCC clinician within 30 minutes of referral, whereas non-TeleTriage patients wait 110 minutes or more. TeleTriage patients are discharged from UCC up to 42 minutes more rapidly. TeleTriage patients who receive imaging prior to registration in UCC receive a final disposition up to 93 minutes sooner. About 4% of TeleTriage patients are managed at home. In a small number of TeleTriage patients with severe complications of cancer-treatment, significant morbidity was avoided due to early intervention and coordination of care. Conclusions: TeleTriage patients have contact with a UCC clinician measurably faster than non-TeleTriage patients. Their evaluation is also started earlier. By managing less acute patients at remote sites or at home, TeleTriage can help patients avoid unnecessary travel, (time) expenditure, and hospital contact. TeleTriage patients who come to UCC, spend less time in UCC than non-TeleTriage patients and they discharge faster. By utilizing cancer care expertise, TeleTriage can significantly impact patient outcomes and utilize resources more effectively.

Extracellular vesicles (EVs) are attracting attention as vehicles for inter-cellular signaling that may have value as diagnostic or therapeutic targets. EVs are released by many cell types and by different mechanisms, resulting in phenotypic heterogeneity that makes them a challenge to study. Flow cytometry is a popular tool for characterizing heterogeneous mixtures of particles such as cell types within blood, but the small size of EVs makes them difficult to measure using conventional flow cytometry. To address this limitation, a high sensitivity flow cytometer was constructed and EV measurement approaches that allowed them to enumerate and estimate the size of individual EVs, as well as measure the presence of surface markers to identify phenotypic subsets of EVs. Several fluorescent membrane probes were evaluated and it was found that the voltage sensing dye di-8-ANEPPS could produce vesicle fluorescence in proportion to vesicle surface area, allowing for accurate measurements of EV number and size. Fluorescence-labeled annexin V and anti-CD61 antibody was used to measure the abundance of these surface markers on EVs in rat plasma. It was shown that treatment of platelet rich plasma with calcium ionophore resulted in an increase in the fraction of annexin V and CD61-positive EVs. Vesicle flow cytometry using fluorescence-based detection of EVs has the potential to realize the potential of cell-derived membrane vesicles as functional biomarkers for a variety of applications.

Extracellular vesicles (EVs) are released by cells and can be found in cell culture supernatants and biofluids. EVs carry proteins, nucleic acids, and other cellular components and can deliver these to nearby or distant cells, making EVs of interest as both disease biomarkers and therapeutic targets. EVs in biofluids are heterogeneous, coming from different cell types and from different sources with the cell, which limits the usefulness of bulk EV analysis methods that report the average features of all EVs present. Single-particle measurements such as flow cytometry would be preferred, but the small size and low abundance of surface antigens challenges conventional flow cytometry approaches, leading to the development of vesicle-specific assays and experimental design. Among the key issues that have emerged are: (a) judicious choice of detection (triggering) approach; (b) appropriate control experiments to confirm the vesicular nature of the detected events and the contribution of coincidence (aka swarm detection); and (c) the importance of fluorescence calibration to allow data to be compared over time and between laboratories. We illustrate these issues in the context of fluorescence-triggered Vesicle Flow Cytometry (VFC), a general approach to the quantitative measurement of EV number, size, and surface marker expression.

Extracellular vesicles (EVs) are released by cells and can be found in cell culture supernatants and biofluids. EVs carry proteins, nucleic acids, and other cellular components and can deliver these to nearby or distant cells, making EVs of interest as both disease biomarkers and therapeutic targets. EVs in biofluids are heterogeneous, coming from different cell types and from different sources with the cell, which limits the usefulness of bulk EV analysis methods that report the average features of all EVs present. Single-particle measurements such as flow cytometry would be preferred, but the small size and low abundance of surface antigens challenges conventional flow cytometry approaches, leading to the development of vesicle-specific assays and experimental design. Among the key issues that have emerged are: (a) judicious choice of detection (triggering) approach; (b) appropriate control experiments to confirm the vesicular nature of the detected events and the contribution of coincidence (aka swarm detection); and (c) the importance of fluorescence calibration to allow data to be compared over time and between laboratories. We illustrate these issues in the context of fluorescence-triggered Vesicle Flow Cytometry (VFC), a general approach to the quantitative measurement of EV number, size, and surface marker expression.

We examined the extracellular vesicle (EV) and RNA composition of pooled normal cerebrospinal fluid (CSF) samples and CSF from five major neurological disorders: Alzheimer’s disease (AD), Parkinson’s disease (PD), low-grade glioma (LGG), glioblastoma multiforme (GBM), and subarachnoid haemorrhage (SAH), representing neurodegenerative disease, cancer, and severe acute brain injury. We evaluated: (I) size and quantity of EVs by nanoparticle tracking analysis (NTA) and vesicle flow cytometry (VFC), (II) RNA yield and purity using four RNA isolation kits, (III) replication of RNA yields within and between laboratories, and (IV) composition of total and EV RNAs by reverse transcription–quantitative polymerase chain reaction (RT-qPCR) and RNA sequencing (RNASeq). The CSF contained ~106 EVs/μL by NTA and VFC. Brain tumour and SAH CSF contained more EVs and RNA relative to normal, AD, and PD. RT-qPCR and RNASeq identified disease-related populations of microRNAs and messenger RNAs (mRNAs) relative to normal CSF, in both total and EV fractions. This work presents relevant measures selected to inform the design of subsequent replicative CSF studies. The range of neurological diseases highlights variations in total and EV RNA content due to disease or collection site, revealing critical considerations guiding the selection of appropriate approaches and controls for CSF studies.

Nanoparticle surface enhanced Raman scattering (SERS) tags have attracted interest as labels for use in a variety of applications, including biomolecular assays. An obstacle to progress in this area is a lack of standardized approaches to compare the brightness of different SERS tags within and between laboratories. Here we present an approach based on binding of SERS tags to beads with known binding capacities that allows evaluation of the average intensity, the relative binding footprint of particles in a SERS tag preparation, and the size-normalized intensity or emittance. We tested this on four different SERS tag compositions and show that aggregated gold nanorods produce SERS tags that are 2-4 times brighter than relatively more monodisperse nanorods, but that the aggregated nanorods are also correspondingly larger, which may negate the intensity if steric hindrance limits the number of tags bound to a target. By contrast, SERS tags prepared from smaller gold nanorods coated with a silver shell produce SERS tags that are 2-3 times brighter, on a size-normalized basis, than the Au nanorod-based tags, resulting in labels with improved performance in SERS-based image and flow cytometry assays. SERS tags based on red-resonant Ag plates showed similarly bright signals and small footprint. This approach to evaluating SERS tag brightness is general, uses readily available reagents and instruments, and should be suitable for interlab comparisons of SERS tag brightness.

There is a long standing interest in measuring complete emission spectra from individual cells in flow cytometry. We have developed flow cytometry instruments and analysis approaches to enable this to be done routinely and robustly. Our spectral flow cytometers use a holographic grating to disperse light from single cells onto a CCD for high speed, wavelength-resolved detection. Customized software allows the single cell spectral data to be displayed and analyzed to produce new spectra-derived parameters. We show that familiar reference and calibration beads can be employed to quantitatively assess instrument performance. We use microspheres stained with six different quantum dots to compare a virtual bandpass filter approach with classic least squares (CLS) spectral unmixing, and then use antibody capture beads and CLS unmixing to demonstrate immunophenotyping of peripheral blood mononuclear cells using spectral flow cytometry. Finally, we characterize and evaluate several near infrared (NIR) emitting fluorophores for use in spectral flow cytometry. Spectral flow cytometry offers a number of attractive features for single cell analysis, including a simplified optical path, high spectral resolution, and streamlined approaches to quantitative multiparameter measurements. The availability of robust instrumentation, software, and analysis approaches will facilitate the development of spectral flow cytometry applications.

Extracellular vesicles (EVs) have emerged as a promising biomarker platform for glioblastoma patients. However, the optimal method for quantitative assessment of EVs in clinical bio-fluid remains a point of contention. Multiple high-resolution platforms for quantitative EV analysis have emerged, including methods grounded in diffraction measurement of Brownian motion (NTA), tunable resistive pulse sensing (TRPS), vesicle flow cytometry (VFC), and transmission electron microscopy (TEM). Here we compared quantitative EV assessment using cerebrospinal fluids derived from glioblastoma patients using these methods. For EVs 150 nm in diameter), NTA consistently detected lower number of EVs relative to TRPS. These results unveil the strength and pitfalls of each quantitative method alone for assessing EVs derived from clinical cerebrospinal fluids and suggest that thoughtful synthesis of multi-platform quantitation will be required to guide meaningful clinical investigations.

We describe a system for rapidly screening hundreds of nanoparticle samples using transmission electron microscopy (TEM). The system uses a liquid handling robot to place up to 96 individual samples onto a single standard TEM grid at separate locations. The grid is then transferred into the TEM and automated software is used to acquire multiscale images of each sample. The images are then analyzed to extract metrics on the size, shape, and morphology of the nanoparticles. The system has been used to characterize plasmonically active nanomaterials.

Background Plasmodium berghei rodent malaria is a well-known model for the investigation of anti-malarial drug efficacy in vivo. However, the availability of drug in vitro assays in P. berghei is reduced when compared with the spectrum of techniques existing for Plasmodium falciparum. New alternatives to the current manual or automated methods described for P. berghei are attractive. The present study reports a new ELISA drug in vitro assay for P. berghei using two monoclonal antibodies against the parasite lactate dehydrogenase (pLDH). Methods This procedure includes a short-in vitro culture, the purification of schizonts and the further generation of synchronized mice infections. Early stages of the parasite are then incubated against different concentrations of anti-malarial drugs using micro-plates. The novelty of this procedure in P. berghei relies on the quantification of the drug activity derived from the amount of pLDH estimated by an ELISA assay using two monoclonal antibodies: 14C1 and 19G7. The IC50s obtained through the ELISA assay were compared with those from the micro-test. Results The initial parameters of the synchronized samples used in the in vitro assays were a parasitaemia of 0.5% and haematocrit of 1%, with an incubation period of 22 hours at 36.5°C. pLDH detection using a 14C1 coating at 10 μg/ml and 19G7 at 2.5 × 10-3 μg/ml provided good readouts of optical densities with low background in negative controls and specific detection levels for all parasite stages. IC50s values derived from the ELISA assay for artesunate, chloroquine, amodiaquine and quinine were: 15, 7, 2, and 144 nM, respectively. When artesunate and chloroquine IC50s were evaluated using the micro-test similar values were obtained. Conclusion This ELISA-based in vitro drug assay is easy to implement, fast, and avoids the use radioisotopes or expensive equipment. The utility of this simple assay for screening anti-malarial drug activity against P. berghei in vitro is demonstrated.

Fluorescence is a mainstay of bioanalytical methods, offering sensitive and quantitative reporting, often in multiplexed or multiparameter assays. Perhaps the best example of the latter is flow cytometry, where instruments equipped with multiple lasers and detectors allow measurement of 15 or more different fluorophores simultaneously, but increases beyond this number are limited by the relatively broad emission spectra. Surface enhanced Raman scattering (SERS) from metal nanoparticles can produce signal intensities that rival fluorescence, but with narrower spectral features that allow a greater degree of multiplexing. We are developing nanoparticle SERS tags as well as Raman flow cytometers for multiparameter single cell analysis of suspension or adherent cells. SERS tags are based on plasmonically active nanoparticles (gold nanorods) whose plasmon resonance can be tuned to give optimal SERS signals at a desired excitation wavelength. Raman resonant compounds are adsorbed on the nanoparticles to confer a unique spectral fingerprint on each SERS tag, which are then encapsulated in a polymer coating for conjugation to antibodies or other targeting molecules. Raman flow cytometry employs a high resolution spectral flow cytometer capable of measuring the complete SERS spectra, as well as conventional flow cytometry measurements, from thousands of individual cells per minute. Automated spectral unmixing algorithms extract the contributions of each SERS tag from each cell to generate high content, multiparameter single cell population data. SERS-based cytometry is a powerful complement to conventional fluorescence-based cytometry. The narrow spectral features of the SERS signal enables more distinct probes to be measured in a smaller region of the optical spectrum with a single laser and detector, allowing for higher levels of multiplexing and multiparameter analysis.

Carbohydrate-protein interactions are involved in many crucial biological processes, from protein stability, to immune response, to pathogen infection. A fast and reliable method to determine carbohydrate binding affinity and specificity was developed as an alternative to ELISA and glycan microarray screening.Optically distinct neutravidin-coated microspheres were functionalized with biotinylated carbohydrates, to create a glycan array in suspension format. A range of fluorescently labeled carbohydrate binding agents including lectins, toxins, and viruses were incubated with the glycan suspension array. In addition to characterizing carbohydrate binding preference, simultaneous strain typing of influenza virus was performed using additional multiplex microspheres conjugated to antibodies specific for influenza A subtypes. Inactivated virus was incubated with the microspheres, detected using fluorescence-labeled anti-influenza virus antibodies, and measured by flow cytometry.Biotinylated carbohydrates were successfully captured by neutravidin conjugated microspheres as observed by specific binding of fluorescently labeled lectins SNA-I and MAA and Cholera toxin B (CTB) subunit. Antibodies were also conjugated to microspheres allowing for multiplex analysis of influenza virus sub-type and receptor specificity of human influenza A subtype H1N1 and avian influenza A subtype H5N1. Each subtype of influenza virus bound only to those microspheres displaying carbohydrates with its specific receptor and anti-influenza A antibody. These results have been confirmed previously by other methods, including hemagglutination and glycan microarray.This approach provides improved control over carbohydrate surface density, increased throughput for the analysis of many samples and conditions, reduced sample volumes, and better quantification.

In structural biology, the most critical issue is the availability of high-quality samples. “Structural-biology-grade” proteins must be generated in a quantity and quality suitable for structure determination using X-ray crystallography or nuclear magnetic resonance. The additional challenge for structural genomics is the need for high numbers of proteins at low cost where protein targets quite often have low sequence similarities, unknown properties and are poorly characterized. The purification procedures must reproducibly yield homogeneous proteins or their derivatives containing marker atom(s) in milligram quantities. The choice of protein purification and handling procedures plays a critical role in obtaining high-quality protein samples. Where the ultimate goal of structural biology is the same—to understand the structural basis of proteins in cellular processes, the structural genomics approach is different in that the functional aspects of individual protein or family are not ignored, however, emphasis here is on the number of unique structures, covering most of the protein folding space and developing new technologies with high efficiency. At the Mid-west Center Structural Genomics (MCSG), we have developed semiautomated protocols for high-throughput parallel protein purification. In brief, a protein, expressed as a fusion with a cleavable affinity tag, is purified in two immobilized metal affinity chromatography (IMAC) steps: (i) first IMAC coupled with buffer-exchange step, and after tag cleavage using TEV protease, (ii) second IMAC and buffer exchange to clean up cleaved tags and tagged TEV protease. Size exclusion chromatography is also applied as needed. These protocols have been implemented on multidimensional chromatography workstations AKTAexplorer and AKTAxpress (GE Healthcare). All methods and protocols used for purification, some developed in MCSG, others adopted and integrated into the MCSG purification pipeline and more recently the Center for Structural Genomics of Infectious Disease (CSGID) purification pipeline, are discussed in this chapter.

In structural biology, the most critical issue is the availability of high-quality samples. "Structural-biology-grade" proteins must be generated in a quantity and quality suitable for structure determination using X-ray crystallography or nuclear magnetic resonance. The additional challenge for structural genomics is the need for high numbers of proteins at low cost where protein targets quite often have low sequence similarities, unknown properties and are poorly characterized. The purification procedures must reproducibly yield homogeneous proteins or their derivatives containing marker atom(s) in milligram quantities. The choice of protein purification and handling procedures plays a critical role in obtaining high-quality protein samples. Where the ultimate goal of structural biology is the same-to understand the structural basis of proteins in cellular processes, the structural genomics approach is different in that the functional aspects of individual protein or family are not ignored, however, emphasis here is on the number of unique structures, covering most of the protein folding space and developing new technologies with high efficiency. At the Midwest Center Structural Genomics (MCSG), we have developed semiautomated protocols for high-throughput parallel protein purification. In brief, a protein, expressed as a fusion with a cleavable affinity tag, is purified in two immobilized metal affinity chromatography (IMAC) steps: (i) first IMAC coupled with buffer-exchange step, and after tag cleavage using TEV protease, (ii) second IMAC and buffer exchange to clean up cleaved tags and tagged TEV protease. Size exclusion chromatography is also applied as needed. These protocols have been implemented on multidimensional chromatography workstations AKTAexplorer and AKTAxpress (GE Healthcare). All methods and protocols used for purification, some developed in MCSG, others adopted and integrated into the MCSG purification pipeline and more recently the Center for Structural Genomics of Infectious Disease (CSGID) purification pipeline, are discussed in this chapter.

Large-scale evaluation of protein reductive methylation for improving protein crystallization